Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network

The real-time prediction of ship behavior plays an important role in navigation and intelligent collision avoidance systems. This study developed an online real-time ship behavior prediction model by constructing a bidirectional long short-term memory recurrent neural network (BI-LSTM-RNN) that is s...

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Detalles Bibliográficos
Autores principales: Gao, Miao, Shi, Guoyou, Li, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308602/
https://www.ncbi.nlm.nih.gov/pubmed/30513692
http://dx.doi.org/10.3390/s18124211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308602/
https://www.ncbi.nlm.nih.gov/pubmed/30513692
http://dx.doi.org/10.3390/s18124211

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